We first present conditional filter convolution, a simple yet effective extension of SchNet's scalable continuous filter convolution [1]}.
The original continuous filter convolution uses the distance information between neighboring atoms to compute the filter, which is then applied to the embeddings of source atoms.
However, this approach has a series of limitations, especially when transitioning from an energy-centric to a force-centric model.
